Multi-sampling-frame water vapor parameter cooperative control system and method

Abstract

The invention relates to the technical field of industrial process detection and intelligent monitoring, in particular to a multi-sampling-frame water vapor parameter cooperative control system and method, and the system comprises a main control industrial personal computer and a plurality of single-point sampling units. Each sampling unit is provided with a sampling flow path assembly, a multi-parameter sensor group and a local control unit and can independently execute single-point adjustment and protection; and the main control industrial personal computer communicates with each unit, synchronizes, fuses and analyzes multi-source data, identifies system abnormality, and issues a cooperative control instruction. By constructing a double-layer intelligent framework of'single-point autonomous control + system collaborative decision ', the system realizes global monitoring, intelligent diagnosis and collaborative regulation and control while improving the real-time performance and reliability of local abnormal response, solves the problem that a traditional single-point isolated monitoring mode is difficult to realize global optimization and intelligent diagnosis, and improves the reliability of the system. And the overall reliability, the intelligent level and the operation safety of the system are obviously improved.

Description

Technical Field

[0001] This invention relates to the field of industrial process detection and intelligent monitoring technology, and in particular to a multi-sampling rack water vapor parameter collaborative control system and method. Background Technology

[0002] In industrial systems such as power, chemical, and environmental protection, real-time and accurate monitoring of the temperature, pressure, flow rate, and water quality parameters of water-vapor media (such as steam, condensate, and process fluids) is crucial for ensuring the safe and stable operation of equipment, optimizing process efficiency, and preventing risks. Traditional monitoring methods rely on installing sampling racks at representative points in the system, cooling, depressurizing, and filtering the sample water, and then guiding it to online analytical instruments for measurement.

[0003] Currently, the industry commonly adopts a monitoring system based on single-point sampling racks. Each sampling rack independently constitutes a complete sampling flow path, integrating a condenser, pressure reducing valve, filter, and related temperature, pressure, and flow sensors. This solution mainly relies on single-point sensors to acquire data, and over-limit alarms are implemented either through periodic inspections by operators or via a simple control unit.

[0004] However, in existing water vapor parameter collaborative control systems, the monitoring and control modes are isolated and cannot achieve risk perception, intelligent diagnosis and collaborative optimization of water vapor parameters from a global system perspective, making it difficult to meet the requirements of modern industrial systems for high reliability and high intelligence. Summary of the Invention

[0005] The purpose of this invention is to provide a multi-sampling frame water vapor parameter collaborative control system and method to solve the technical problem that existing water vapor parameter collaborative control systems have isolated monitoring and control modes, which cannot realize risk perception, intelligent diagnosis and collaborative optimization of water vapor parameters from a global system perspective, and are difficult to meet the requirements of modern industrial systems for high reliability and high intelligence operation.

[0006] In a first aspect, the present invention provides a multi-sampling rack water vapor parameter collaborative control system, including a main control industrial computer and multiple single-point sampling units; Each of the single-point sampling units is equipped with a sampling flow path assembly, a multi-parameter sensor group, and a local control unit. The local control unit is used to independently perform single-point adjustment and protection actions based on the local parameters collected by the multi-parameter sensor group. The main industrial control computer is communicatively connected to the local control unit of all single-point sampling units. It is used to receive and synchronize the parameter data of each unit, perform fusion analysis on the parameter data to identify system anomalies, and issue collaborative control commands to one or more of the single-point sampling units based on the analysis results.

[0007] Furthermore, the sampling flow path assembly includes a primary valve, a secondary valve, a condenser, a thermostat, a filter, a pressure regulating device, a back pressure valve, and an instrument branch valve group arranged sequentially along the sample water flow direction; the multi-parameter sensor group includes at least a first sensor subgroup for monitoring the cooling water status, a second sensor subgroup for monitoring the sample water temperature and flow rate, and a third sensor subgroup for monitoring the filter pressure difference and the instrument branch flow rate.

[0008] Furthermore, the protection actions performed by the local control unit include automatically triggering pressure regulation, switching, drainage, or shutdown operations when abnormalities such as over-temperature, over-pressure, or filter pressure difference are detected, and reporting the abnormal event to the main industrial control computer.

[0009] Furthermore, the fusion analysis performed by the main control industrial computer includes: performing correlation analysis on similar parameters from multiple single-point sampling units to distinguish between single-point faults and systemic operating condition anomalies; and / or performing consistency verification on multiple types of parameters within the same unit to identify sensor drift or blockage.

[0010] Furthermore, the coordinated control commands include at least one of the following: adjusting the opening of the pressure regulating device to balance the system pressure, switching the filter branch, redistributing the online instrument sampling flow rate among multiple single-point sampling units, and coordinating the adjustment of the condenser operating parameters of multiple units to cope with regional cooling insufficiency.

[0011] Secondly, the present invention also provides a method for coordinated control of water vapor parameters, based on the above-mentioned multi-sampling frame water vapor parameter coordinated control system, comprising the following steps: Step 1: Each single-point sampling unit performs local parameter acquisition and autonomous control; Step 2: The main control industrial computer receives and synchronizes the data uploaded by each unit, and identifies the anomaly type based on the fusion analysis algorithm. The anomaly type includes at least single point of failure, regional correlation anomaly, and system-wide anomaly. Step 3: Based on the anomaly type, generate and issue collaborative control instructions to the target single-point sampling unit to perform system-level optimization and adjustment.

[0012] Furthermore, the fusion analysis algorithm includes using adaptive thresholds to perform trend analysis and consistency judgment on multi-source data.

[0013] Furthermore, when an anomaly in regional association is identified, the coordinated control command is simultaneously sent to multiple relevant single-point sampling units within the anomaly region to perform coordinated pressure regulation or flow redistribution.

[0014] Furthermore, the water vapor parameter coordinated control method also includes the steps of: recording all abnormal events, control commands and system status data, and iteratively optimizing the control strategy or fusion analysis model based on historical data.

[0015] Furthermore, the autonomous control includes: when no instruction is received from the main industrial control computer, the local control unit independently executes over-temperature, over-pressure, or flow protection actions based on real-time parameters.

[0016] Compared with existing technologies, this invention provides a multi-sampling rack water vapor parameter collaborative control system, including a main control industrial computer and multiple single-point sampling units. Each single-point sampling unit is equipped with a sampling flow path assembly, a multi-parameter sensor group, and a local control unit. The local control unit independently executes single-point adjustment and protection actions based on local parameters collected by the multi-parameter sensor group. The main control industrial computer is communicatively connected to the local control units of all single-point sampling units, receiving and synchronizing parameter data from each unit, performing fusion analysis on the parameter data to identify system anomalies, and issuing collaborative control commands to one or more single-point sampling units based on the analysis results. This system constructs a "single-point autonomous control +..." The dual-layer intelligent control architecture of "system collaborative decision-making" enables each sampling unit to operate independently and protect itself, effectively improving the real-time performance and reliability of local abnormal response. At the same time, the main control computer performs synchronous and fusion analysis of multi-source data, which can identify single-point faults, regional anomalies and system risks from a global system perspective, and dynamically issue collaborative control commands. This fundamentally solves the problem that the traditional single-point isolated monitoring mode is difficult to achieve global optimization and intelligent diagnosis, and significantly improves the overall reliability, intelligence level and operational safety of the water vapor parameter monitoring system. Attached Figure Description

[0017] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the overall structure of the multi-sampling frame water vapor parameter collaborative control system provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the sampling flow path component in the multi-sampling frame water vapor parameter collaborative control system provided in an embodiment of the present invention.

[0019] Figure label: 100. Main control industrial computer; 200. Single-point sampling unit; 211. Primary valve; 212. Secondary valve; 213. Condenser; 214. Thermostat; 215. Filter; 216. Pressure regulating device; 217. Back pressure valve; 218. Instrument branch valve assembly; 220. Multi-parameter sensor array; 221. First sensor subgroup; 222. Second sensor subgroup; 223. Third sensor subgroup; 230. Local control unit. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0021] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0022] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0023] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product is in use. These terms are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0024] Furthermore, terms such as "horizontal," "vertical," and "sag" do not imply that components must be absolutely horizontal or suspended, but rather that they can be slightly tilted. For example, "horizontal" simply means that its direction is more horizontal relative to "vertical," and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0025] In the description of this invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0026] The following detailed description of some embodiments of the present invention is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0027] Example 1 like Figure 1 and Figure 2 As shown, this embodiment of the invention provides a multi-sampling rack water vapor parameter collaborative control system, which aims to solve the technical problems of the traditional single-point sampling rack monitoring mode being isolated and unable to achieve global risk perception and collaborative optimization.

[0028] The system adopts a two-layer intelligent architecture of "distributed autonomy + centralized collaboration". Its core includes a main control industrial computer 100 and multiple single-point sampling units 200 that are physically distributed. The main control industrial computer 100 is usually installed in the central control room, while the multiple single-point sampling units 200 are installed at key monitoring points of the water and steam system such as boilers, steam turbines, and deaerators, according to process requirements.

[0029] Each single-point sampling unit 200 is a fully functional intelligent node, which serves as the basic module of the system and mainly includes three parts: sampling flow path components, multi-parameter sensor group 220, and local control unit 230.

[0030] The sampling flow path assembly is used for the safe sampling and pretreatment of high-temperature, high-pressure water samples. For example... Figure 2 As shown, the flow path, in sequence according to the sample water flow direction, includes: a primary valve 211 and a secondary valve 212 for loop opening and closing and graded isolation; a condenser 213 for cooling high-temperature sample water; a thermostat 214 for stabilizing the sample water temperature within the optimal operating range of the instrument; a filter 215 for removing impurities; a pressure regulator 216 for automatic pressure stabilization; a back pressure valve 217 for ensuring constant pressure operation of the instrument branch; and an instrument branch valve group 218 for distributing sample water to multiple online monitoring instruments. This flow path design enables each unit to have independent and complete sampling and pretreatment capabilities.

[0031] Multi-parameter sensor groups 220 are widely deployed at key nodes in the aforementioned flow path to comprehensively perceive the unit's operating status. Specifically, they can be divided into three subgroups: the first sensor subgroup 221 monitors the temperature, pressure, and flow rate of the cooling water to assess the condensation effect; the second sensor subgroup 222 monitors the temperature and total flow rate of the sample water itself; and the third sensor subgroup 223 monitors the pressure difference before and after the filter 215 and the real-time flow rate of each instrument branch. These sensors provide a detailed data foundation for intelligent control.

[0032] The local control unit 230 is the core of single-point intelligence. It collects data from the multi-parameter sensor group 220 in real time and embeds preset control and protection logic. Its core function is to achieve "single-point single control," meaning that it can independently execute local closed-loop regulation and protection without the intervention of the main control industrial computer 100. For example, when the sample water temperature is detected to be too high, the thermostat 214 can be automatically adjusted or an alarm can be triggered; when the pressure difference before and after the filter 215 increases abnormally, it can be identified as a blockage and maintenance can be prompted or the backup branch can be automatically switched; when overpressure or a sudden drop in flow is detected, the safety valve can be automatically activated or the upstream valve can be closed. This design ensures that even when communication is interrupted, a single sampling point can still operate safely, greatly improving the local reliability of the system.

[0033] The main control industrial computer 100 connects to the local control units 230 of all single-point sampling units 200 via an industrial communication network (such as industrial Ethernet), forming the "intelligent brain" of the system. Its workflow mainly consists of three steps: First, it receives and synchronizes multi-source heterogeneous data from each unit in real time to construct a comprehensive overview of the system status. Second, it runs advanced data fusion analysis algorithms to deeply mine the data. This analysis not only includes trend judgment using adaptive thresholds, but more importantly, it can perform correlation analysis on similar parameters of multiple units (e.g., comparing the temperature change trends at different points) to accurately distinguish whether it is a sensor failure (single-point failure), a regional temperature rise caused by a cold source interruption (regional correlation anomaly), or a global impact caused by fluctuations in system pressure sources (system-wide anomaly). Finally, based on this intelligent diagnostic result, the main control industrial computer 100 can transcend the perspective of a single unit and generate and issue system-level collaborative control commands. For example, when a regional cooling deficiency is diagnosed, the load of multiple unit condensers 213 in that region can be reduced simultaneously; when uneven flow rates of various online instruments are found, the opening of multiple unit back pressure valves 217 can be adjusted in a coordinated manner to achieve dynamic redistribution of flow rates, thereby achieving optimized operation at the system level.

[0034] Through the aforementioned architecture, this system combines the rapid autonomous response of local units with system-level global intelligent optimization, fundamentally changing the traditional monitoring mode and significantly improving the overall reliability, intelligence level, and operational safety of water vapor parameter monitoring.

[0035] Example 2 Based on the system of Embodiment 1, this invention also provides a method for coordinated control of water vapor parameters across multiple sampling racks. This method achieves intelligent control throughout the entire process, from data acquisition to coordinated optimization, and specifically includes the following steps: Step S1: Local parameter acquisition and autonomous control.

[0036] Each single-point sampling unit 200's local control unit 230 drives its multi-parameter sensor group 220 to continuously collect local parameters such as temperature, pressure, flow rate, and differential pressure. The local control unit 230 makes autonomous decisions and executes commands in real time based on preset protection thresholds and control logic. For example, once over-temperature or over-pressure is detected, it immediately performs protective regulation or shutdown at the local location, while simultaneously uploading an anomaly event flag and data. This step ensures the immediacy of anomaly response and basic safety.

[0037] Step S2: Data aggregation, synchronization and fusion analysis.

[0038] The main control industrial computer 100 aggregates data packets uploaded by all single-point sampling units 200 through the communication network. First, it adds high-precision timestamps to all data and performs synchronization processing to eliminate timing errors caused by communication delays, forming a unified system status timing dataset. Then, the main control industrial computer 100 calls its built-in fusion analysis algorithm to perform in-depth analysis of this dataset. The algorithm includes, but is not limited to: using sliding window and adaptive threshold techniques for data trend smoothing and preliminary anomaly screening; calculating correlation coefficients for physically related parameters from different locations (such as multiple condenser outlet temperatures) to identify coordinated changes; and performing consistency checks on logically related parameters within the same unit (such as cooling water flow rate and sample water outlet temperature) to detect sensor drift or measurement failure. Through this process, the system can intelligently identify different types of anomalies, such as "single-point faults," "regional correlation anomalies" (such as a cooling water failure in a certain pipe gallery), and "system-wide anomalies" (such as pressure loss at a plant-level pressure reducing station), and complete preliminary anomaly source localization.

[0039] Step S3: Collaborative control decision-making and execution.

[0040] Based on the fusion analysis results and anomaly classification in step S2, the main control industrial computer 100 generates specific, executable collaborative control commands. The decision logic is system-level and optimization-oriented: if the problem is a single-point filter blockage, the command may only switch branches for that unit; if a regional cooling efficiency decline is identified, a command is generated to coordinately increase the cooling water valve opening of the condensers 213 of all affected units in that region or start auxiliary cooling; if it is determined that the uneven flow of downstream instruments is caused by system pressure imbalance, a complex set of commands is generated to coordinate the pressure regulating devices 216 and back pressure valves 217 of multiple units to perform linked fine-tuning to rebalance the global flow distribution. The commands are accurately sent to the local control unit 230 of the target unit through the communication network and drive the actuator to perform actions, completing the system-level optimization adjustment.

[0041] Optionally, the method also includes step S4: information recording and strategy iterative optimization.

[0042] The main control industrial computer 100 records all raw data, abnormal event logs, issued control commands, and their execution effects throughout the entire process into a historical database. This data can not only be used to generate reports and for remote monitoring, but more importantly, it can serve as training samples for machine learning models. The system can periodically or based on triggering conditions perform offline or online optimization learning on the threshold model, correlation weights, or control decision rules in the fusion analysis, thereby continuously improving the system's diagnostic accuracy and the adaptability of its control strategy over time, achieving system self-evolution.

[0043] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A multi-sampling frame water vapor parameter collaborative control system, characterized in that, Includes a main industrial computer and multiple single-point sampling units; Each of the single-point sampling units is equipped with a sampling flow path assembly, a multi-parameter sensor group, and a local control unit. The local control unit is used to independently perform single-point adjustment and protection actions based on the local parameters collected by the multi-parameter sensor group. The main industrial control computer is communicatively connected to the local control unit of all single-point sampling units. It is used to receive and synchronize the parameter data of each unit, perform fusion analysis on the parameter data to identify system anomalies, and issue collaborative control commands to one or more of the single-point sampling units based on the analysis results.

2. The multi-sampling frame water vapor parameter coordinated control system according to claim 1, characterized in that, The sampling flow path assembly includes a primary valve, a secondary valve, a condenser, a thermostat, a filter, a pressure regulating device, a back pressure valve, and an instrument branch valve group arranged sequentially along the sample water flow direction; the multi-parameter sensor group includes at least a first sensor subgroup for monitoring the cooling water status, a second sensor subgroup for monitoring the sample water temperature and flow rate, and a third sensor subgroup for monitoring the filter pressure difference and the instrument branch flow rate.

3. The multi-sampling frame water vapor parameter coordinated control system according to claim 1, characterized in that, The protection actions performed by the local control unit include automatically triggering pressure regulation, switching, drainage, or shutdown operations when abnormalities such as over-temperature, over-pressure, or filter pressure difference are detected, and reporting the abnormal event to the main industrial control computer.

4. The multi-sampling rack water vapor parameter coordinated control system according to claim 1, characterized in that, The fusion analysis performed by the main industrial control computer includes: performing correlation analysis on similar parameters from multiple single-point sampling units to distinguish between single-point faults and systemic operating anomalies; and / or performing consistency verification on multiple types of parameters within the same unit to identify sensor drift or blockage.

5. The multi-sampling frame water vapor parameter coordinated control system according to claim 1 or 4, characterized in that, The coordinated control commands include at least one of the following: adjusting the opening of the pressure regulating device to balance the system pressure, switching the filter branch, redistributing the online instrument sampling flow rate among multiple single-point sampling units, and coordinating the adjustment of the condenser operating parameters of multiple units to cope with regional cooling insufficiency.

6. A method for coordinated control of water vapor parameters, based on the multi-sampling frame water vapor parameter coordinated control system according to any one of claims 1 to 5, characterized in that, Includes the following steps: Step 1: Each single-point sampling unit performs local parameter acquisition and autonomous control; Step 2: The main control industrial computer receives and synchronizes the data uploaded by each unit, and identifies the anomaly type based on the fusion analysis algorithm. The anomaly type includes at least single point of failure, regional correlation anomaly, and system-wide anomaly. Step 3: Based on the anomaly type, generate and issue collaborative control instructions to the target single-point sampling unit to perform system-level optimization and adjustment.

7. The water vapor parameter coordinated control method according to claim 6, characterized in that, The fusion analysis algorithm includes using adaptive thresholds to perform trend analysis and consistency judgment on multi-source data.

8. The water vapor parameter coordinated control method according to claim 6, characterized in that, When an anomaly in regional association is identified, the coordinated control command is simultaneously sent to multiple relevant single-point sampling units within the abnormal region to perform coordinated pressure regulation or flow redistribution.

9. The water vapor parameter coordinated control method according to claim 6, characterized in that, The water vapor parameter coordinated control method further includes the steps of: recording all abnormal events, control commands and system status data, and iteratively optimizing the control strategy or fusion analysis model based on historical data.

10. The method for coordinated control of water vapor parameters according to any one of claims 6 to 9, characterized in that, The autonomous control includes: when no instruction is received from the main industrial control computer, the local control unit independently executes over-temperature, over-pressure, or flow protection actions based on real-time parameters.

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